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ART-DLR-TN-02 AI/ML Capability Assessment and Hardware Feasibility - ARTISTE

Gollin, Nicola and Martone, Michele and Rizzoli, Paola and Knoll, Stefan (2024) ART-DLR-TN-02 AI/ML Capability Assessment and Hardware Feasibility - ARTISTE. Project Report.

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Item URL in elib:https://elib.dlr.de/209392/
Document Type:Monograph (Project Report)
Title:ART-DLR-TN-02 AI/ML Capability Assessment and Hardware Feasibility - ARTISTE
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gollin, NicolaUNSPECIFIEDhttps://orcid.org/0000-0003-0477-3273UNSPECIFIED
Martone, MicheleUNSPECIFIEDhttps://orcid.org/0000-0002-4601-6599UNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Knoll, StefanAirbus Defence and SpaceUNSPECIFIEDUNSPECIFIED
Date:2024
Refereed publication:No
Open Access:No
Status:Published
Keywords:Synthetic Aperture Radar (SAR), Data compression, Artificial intelligence, Deep learning, Hardware feasibility
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - TerraSAR/TanDEM
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Martone, Michele
Deposited On:28 Nov 2024 13:27
Last Modified:04 Dec 2024 17:08

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